This book explains how algorithms work, for example, by exploiting the structure of the SAT problem with an appropriate logical calculus, like resolution, but also algorithms based on “physical” principles are considered.
Abstract
The satisfiability problem of propositional logic, SAT for short, is the first algorithmic problem that was shown to be NP-complete, and is the cornerstone of virtually all NP-completeness proofs. The SAT problem consists of deciding whether a given Boolean formula has a “solution”, in the sense of an assignment to the variables making the entire formula to evaluate to true. Over the last few years very powerful algorithms have been devised being able to solve SAT problems with hundreds of thousands of variables. For difficult (or randomly generated) formulas these algorithms can be compared to the proverbial search for the needle in a haystack. This book explains how such algorithms work, for example, by exploiting the structure of the SAT problem with an appropriate logical calculus, like resolution. But also algorithms based on “physical” principles are considered.
We show that the satisfiability problem for Strategy Logic introduced by Mogavero, Murano, and Vardi is $\Pi^1_\infty$-complete, and, more strongly, computably isomorphic to true second-order arithmetic. The lower bound is established for the next-time Boolean-goal fragment of Strategy Logic. Consequently, Strategy Log...
Solving Boolean polynomial systems, or equivalently, SAT-solving, based on the XNF and the XLIN proof system outperforms classical methods not only theoretically, but based on the new conflict-driven XNF clause learning methods developed here, it is possible to implement an XNF solver with good practical efficiency.
Julian Danner, Martin Kreuzer· Journal of Artificial Intell...· 0 citations
A randomized algorithm is proposed that repeatedly intersects the polynomial system with uniformly random affine linear constraints (hyperplane slices) to progressively reduce the effective dimension of the solution space to address the satisfiability problem in the theory of non-linear arithmetic over finite fields.
A. Goharshady, T. Häder, Laura Kovács et al.· 0 citations
This work studies the satisfiability problem for FP(Ł) by presenting an algorithm and conducting an empirical evaluation over a controlled class of FP(Ł)-satisfiability instances, revealing a clear phase transition behaviour and distinctive running-time patterns.
Unknown authors· 0 citations
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